Feedforward and feedback interactions between visual cortical areas use different population activity patterns.

Feedforward and feedback interactions between visual cortical areas use different population activity patterns.
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视觉皮层区域之间的前馈和反馈相互作用使用不同的群体活动模式。

DOI:
10.1038/s41467-022-28552-w
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发表时间:
2022-03-01
影响因子:
16.6
通讯作者:
Yu BM
Yu BM
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Semedo JD;Jasper AI;Zandvakili A;Krishna A;Aschner A;Machens CK;Kohn A;Yu BM

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大脑的功能依赖于多个反复连接的大脑区域之间的活动协调。例如,在早期感觉区域编码的感觉信息被传递到高级皮质区域,并由其进一步处理,然后反馈。然而,前馈和反馈信号相互作用的方式还不完全清楚。在这里,我们通过利用早期和中期视觉区域(V1-V2和V1-V4)的同步神经元群体记录来研究这个问题。使用降维方法,我们发现在刺激开始后不久,群体相互作用是前馈主导的,而在自发活动中则是反馈主导的。在前馈和反馈占主导地位的时期,跨地区相关性最强的人口活动模式是不同的。这些结果表明,前馈和反馈信号依赖于单独的“通道”,这使得反馈信号不会直接影响被前馈的活动。大脑皮层区域如何通过前馈和反馈信号相互作用仍不清楚。在这里,作者记录了猕猴视皮层的V1和V2/V4,发现前馈和反馈的相互作用随着刺激驱动的不同而不同,涉及不同的神经元群体活动模式。
Brain function relies on the coordination of activity across multiple, recurrently connected brain areas. For instance, sensory information encoded in early sensory areas is relayed to, and further processed by, higher cortical areas and then fed back. However, the way in which feedforward and feedback signaling interact with one another is incompletely understood. Here we investigate this question by leveraging simultaneous neuronal population recordings in early and midlevel visual areas (V1–V2 and V1–V4). Using a dimensionality reduction approach, we find that population interactions are feedforward-dominated shortly after stimulus onset and feedback-dominated during spontaneous activity. The population activity patterns most correlated across areas were distinct during feedforward- and feedback-dominated periods. These results suggest that feedforward and feedback signaling rely on separate “channels”, which allows feedback signals to not directly affect activity that is fed forward. How cortical areas interact via feedforward and feedback signaling remains unclear. Here, the authors recorded from V1 and V2/V4 in macaque visual cortex and found that feedforward and feedback interactions vary with stimulus drive and involve different neuronal population activity patterns.
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